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University of Modena and Reggio Emilia,Department of Engineering “Enzo Ferrari”,Modena,Italy
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GNN-based NIDS can be significantly hardened against structural adversarial attacks through a novel adversarial training approach that mimics real-world attack scenarios.
VEINS, a popular simulator for vehicle-to-everything communication systems, systematically overestimates signal strength and misses a significant number of messages compared to real-world measurements.
